opus-mt-en-hi-finetuned-en-to-hi
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-hi on the free hindi-english dataset. It achieves the following results on the evaluation set:
- Loss: 3.3735
- Bleu: 10.276
- Gen Len: 34.8766
Model description
transformer-align
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 3.5457 | 1.0 | 6779 | 3.3735 | 10.276 | 34.8766 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for Aarif1430/opus-mt-en-hi-finetuned-en-to-hi
Base model
Helsinki-NLP/opus-mt-en-hi